Fundraisly

The matching engine sorts investors by what they actually invest in, not the thesis printed on a fund's website. It reads behavior, not marketing. Filters cover stage, market, geography, similar past deals, and recent activity. The database refreshes weekly. That means your target list skews toward funds already active in your space rather than a static directory you have to screen by hand.

Fundraisly reads your LinkedIn, Gmail (CASA-certified), and Outlook data to find introduction paths you already have. It hunts for connections you forgot you had. It looks for portfolio founders, co-investors on your cap table, and people inside investment teams who can pass you along. For founders with a thin US network, this is often the difference between a reply and silence.

Not every fit investor sits inside your network, so the platform runs targeted outreach to reach the rest. It builds a separate sending setup that keeps cold activity away from your startup's primary domain. That matters once you also run normal company email. The system learns from investor replies and feeds that back into the database.

Fundraising advisors who worked at VC firms stay with you through the process. That venture capital background shows up in the details. You get help sharpening the pitch deck, structuring the data room, and thinking through strategy, plus weekly reviews of your pipeline and investor conversations. Advice on valuation, deal structure, and terms rounds out the support.

The whole service is organized around booked meetings, not impressions or leads. Founders on the site report getting past their expectations, with several citing dozens of calls in the first two months. That focus keeps the effort pointed at the one number that moves a round forward.

Weekly pipeline reviews give you a running read on where each investor stands. Investor feedback feeds back into the matching, so the next batch of targets gets sharper as the round goes. It's a closed loop. Not a one-time list.